CN107291515A - A kind of custom end intelligent upgrade method and system based on feedback of status - Google Patents
A kind of custom end intelligent upgrade method and system based on feedback of status Download PDFInfo
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- CN107291515A CN107291515A CN201710555675.6A CN201710555675A CN107291515A CN 107291515 A CN107291515 A CN 107291515A CN 201710555675 A CN201710555675 A CN 201710555675A CN 107291515 A CN107291515 A CN 107291515A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/60—Software deployment
- G06F8/65—Updates
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Abstract
The present invention discloses a kind of custom end intelligent upgrade method and system based on feedback of status, and this method comprises the following steps：Client behavioural habits data are analyzed, by Modeling analysis, personal behavior model are built；The personal behavior model and set escalation policy of generation are combined, the comprehensive escalation policy of generation is simultaneously output to server；Server carries out single-point upgrading using the comprehensive escalation policy to the functional module of the client；After upgrading successfully, the upgrade status of upgrade function module and upgrading daily record are fed back to the client by server；Client generates new synthesis escalation policy, and new escalation policy is issued into server.Pass through the solution of the present invention, it is possible to achieve automatic updating, precision upgrading.
Description
Technical field
The present invention relates to data management field, and in particular to a kind of custom end intelligent upgrade method based on feedback of status and
System.
Background technology
With the development of business event, the product and project of the core technology with independent intellectual property right are being continuously increased；
Meanwhile, with the increase of network and operation system, the security threat for coming from enterprises is outstanding day by day.Core technology information document
It is most important Deng related to company competitiveness data security.So, an effective leakage-preventing system of data is enterprise
Consolidate the necessary choice of core competitiveness.And the upgrading of anti-data-leakage system then turns into the daily necessary work of each enterprise
Make.
Make a general survey of the i.e. set strategy pattern upgrading of the existing anti-data-leakage system terminal staging pattern of in the market, for example according to
Department carries out terminal staging in batches, then by upgrade case adjustment escalation policy, it is necessary to more artificial participation.The present invention's carries
Go out to solve the shortcoming of available data leak prevention system upgrading method thereof.
The content of the invention
In order to solve the above technical problems, the invention provides a kind of custom end intelligent upgrade method based on feedback of status,
The client includes multiple functional modules, and this method comprises the following steps：
(1) client behavioural habits data are analyzed, by Modeling analysis, personal behavior model are built；
(2) personal behavior model and set escalation policy of generation are combined, the comprehensive escalation policy of generation is simultaneously defeated
Go out to server；
(3) server carries out single-point upgrading using the comprehensive escalation policy to the functional module of the client；
(4) after upgrading successfully, the upgrade status of upgrade function module and upgrading daily record are fed back to the client by server
End；
(5) client generates new synthesis escalation policy, and new escalation policy is issued into server.
Embodiments in accordance with the present invention, it is preferred that the step (1) analyzes the client behavioural habits data of user, lead to
Modeling analysis is crossed, personal behavior model is built and specifically includes：Frequency is used by analyzing the behavioural habits of user, functional module
Rate, the corresponding function use habit of functional module, by Modeling analysis, build personal behavior model.
Embodiments in accordance with the present invention, it is preferred that step (3) server is using the comprehensive escalation policy to described
The functional module of client carries out single-point upgrading and specifically included：Server is according to the comprehensive escalation policy according to the client
Including the height of updating functional modules priority single-point upgrading is carried out to the functional module of the client.
Embodiments in accordance with the present invention, it is preferred that step (5) client generates new synthesis escalation policy, and will
New escalation policy is issued to server and specifically included：The usage log of server combination upgrade function module, running status day
Will and upgrade status and upgrading daily record, are further analysed, set escalation policy are adjusted, then according to the set upgrading plan
New synthesis escalation policy slightly is generated with personal behavior model, new escalation policy is issued to server.
Embodiments in accordance with the present invention, it is preferred that this method also includes step：
(6) server is upgraded according to new escalation policy to the functional module of the client.
In order to solve the above technical problems, the invention provides a kind of custom end intelligent upgrade-system based on feedback of status,
The client includes multiple functional modules, and the system includes：
Personal behavior model builds module, analyzes client behavioural habits data, by Modeling analysis, builds user
Behavior model；
Escalation policy generation module, the personal behavior model and set escalation policy of generation are combined, and are generated comprehensive
Close escalation policy and be output to server；
Upgraded module, server carries out single-point liter using the comprehensive escalation policy to the functional module of the client
Level；
Upgrading feedback module, after upgrading successfully, server feeds back the upgrade status of upgrade function module and upgrading daily record
To the client；
Developing Tactics module, client generates new synthesis escalation policy, and new escalation policy is issued into server.
Embodiments in accordance with the present invention, it is preferred that the personal behavior model builds module, by the behavior for analyzing user
Custom, functional module frequency of use, the corresponding function use habit of functional module, by Modeling analysis, build user's row
For model.
Embodiments in accordance with the present invention, it is preferred that in the upgraded module, server is pressed according to the comprehensive escalation policy
The height of the updating functional modules priority included according to the client carries out single-point upgrading to the functional module of the client.
Embodiments in accordance with the present invention, it is preferred that in the Developing Tactics module, server combination upgrade function module
Usage log, running status daily record and upgrade status and upgrading daily record, are further analysed, adjust set escalation policy, so
New synthesis escalation policy is generated according to the set escalation policy and personal behavior model afterwards, new escalation policy is issued to
Server.
In order to solve the above technical problems, the invention provides a kind of computer-readable storage medium, it includes computer program and referred to
Order, when performing the computer program instructions, performs one of above method.
Technical scheme achieves following technique effect：
Respective upgrades content is configured on the server manually without user, realizes automatic updating, precision upgrading；
Real-time upgrade status feedback, is fed back by bonding state, effectively monitors and solve user function module liter
The situation of level failure, satisfaction of the lifting user to software.
Brief description of the drawings
Fig. 1 is the system overall framework figure of the present invention
Fig. 2 is that the present invention builds personal behavior model flow chart
Fig. 3 is updating functional modules flow chart of the present invention
Fig. 4 is escalation policy adjustment flow chart of the present invention
Embodiment
In order to solve the above technical problems, the invention provides a kind of intelligent upgrade method based on feedback of status, this method
Main contents include：
1. clearly dividing termination function module, add module uses statistical function, and reinforced module upgrading ability, as far as possible
Avoid the strongly connected generation of module；
2. on high modular basis, generating personal behavior model, the module that calculating acquisition user behavior is produced, which is used, to be practised
Used and logic；
3. in terminal staging, comprehensive strategic is generated with reference to set strategy pattern and user behavior pattern, including subregion with
Transregional, non-conventional module and conventional module upgrade etc., the layering escalation process set up based on module；
4. layering upgrade status feedback mechanism is set up, after the completion of every layer is upgraded, the running status day produced using terminal
Will and user's usage log, real-time online judge upgrading effect, so as to adjust set escalation policy, realize that automaticity is higher
Escalation process, also avoid upgrading the diffusion gone wrong.
<Method for processing business>
The invention provides a kind of custom end intelligent upgrade method based on feedback of status, the client includes multiple functions
Module, this method comprises the following steps：
(1) client behavioural habits data are analyzed, by Modeling analysis, personal behavior model are built.
By analyzing the behavioural habits of user, functional module frequency of use, the corresponding function use habit of functional module, lead to
Modeling analysis is crossed, personal behavior model is built.
(2) personal behavior model and set escalation policy of generation are combined, the comprehensive escalation policy of generation is simultaneously defeated
Go out to server.
(3) server carries out single-point upgrading using the comprehensive escalation policy to the functional module of the client.
Server carries out single-point upgrading to the functional module of the client using the comprehensive escalation policy and specifically included：
The height for the updating functional modules priority that server includes according to the comprehensive escalation policy according to the client is to described
The functional module of client carries out single-point upgrading.
(4) after upgrading successfully, the upgrade status of upgrade function module and upgrading daily record are fed back to the client by server
End.
(5) client generates new synthesis escalation policy, and new escalation policy is issued into server.
Usage log, running status daily record and the upgrade status of server combination upgrade function module and upgrading daily record,
It is further analysed, adjusts set escalation policy, is then generated newly according to the set escalation policy and personal behavior model
Comprehensive escalation policy, server is issued to by new escalation policy.
(6) server is upgraded according to new escalation policy to the functional module of the client.
<Transaction processing system>
The invention provides a kind of custom end intelligent upgrade-system based on feedback of status, the client includes multiple functions
Module, the system includes：
Personal behavior model builds module, analyzes client behavioural habits data, by Modeling analysis, builds user
Behavior model.
The personal behavior model builds module, by analyzing the behavioural habits of user, functional module frequency of use, function
The corresponding function use habit of module, by Modeling analysis, builds personal behavior model.
Escalation policy generation module, the personal behavior model and set escalation policy of generation are combined, and are generated comprehensive
Close escalation policy and be output to server.
Upgraded module, server carries out single-point liter using the comprehensive escalation policy to the functional module of the client
Level.
The height for the updating functional modules priority that server includes according to the comprehensive escalation policy according to the client
The low functional module to the client carries out single-point upgrading.
Upgrading feedback module, after upgrading successfully, server feeds back the upgrade status of upgrade function module and upgrading daily record
To the client.
Developing Tactics module, client generates new synthesis escalation policy, and new escalation policy is issued into server.
Usage log, running status daily record and the upgrade status of server combination upgrade function module and upgrading daily record,
It is further analysed, adjusts set escalation policy, is then generated newly according to the set escalation policy and personal behavior model
Comprehensive escalation policy, server is issued to by new escalation policy.
Upgrading update module, server is upgraded according to new escalation policy to the functional module of the client.
<Specific embodiment>
Fig. 1 shows that the system of the present invention is constituted, and the system includes anti-data-leakage personal terminal and anti-data-leakage takes
Business device.Client's installation data anti-leak client software first on personal terminal, to input number of the user on personal terminal
According to being acquired, calculate to form personal behavior model by data modeling, while changing set upgrading using terminal daily record feedback
Strategy, the set escalation policy of the personal behavior model of generation and modification is combined, and the comprehensive escalation policy of generation is simultaneously defeated
Go out to server.
Such as Fig. 2, basic data collection is carried out, the data of collection include：Network behavior data, service behavior data and user
Functional module preference data.Behavior is carried out by text mining, natural language processing, machine learning, prediction algorithm, clustering algorithm
Modeling.According to base attribute, behavioural characteristic, hobby, psychological characteristics, user behavioural habits, by using module frequency,
Personal behavior model is built using corresponding function custom.
Such as Fig. 3, the comprehensive upgrading plan of generation is combined according to the personal behavior model analyze data and set strategy of generation
Slightly, server is output to, server carries out single according to the synthesis escalation policy of generation according to the height of priority to designated module
Point upgrading.
After upgrading successfully, upgrade status and respective modules daily record are fed back to client, client combination user by server
This is further analyzed usage log, adjusts set strategy, is then generated according to set strategy and personal behavior model new
Synthesis escalation policy, new escalation policy is issued to server, server is upgraded according to this strategy to terminal.Go into
One follow it is bad, it is ensured that upgrading be normally carried out, flow is shown in Fig. 4.
The business DBMS anti-disclosure system that certain bank is done based on the present invention, by particularly customized to PC ends client, to visitor
Family provides stable point-to-point module upgrade, personalized upgrade service.
By personalized upgrade service, following technique effect can be obtained：
The more functional module of client's access times, the upgrade service of high priority can be obtained by this invention, it is ensured that used
There is more healthy and stronger software experience at family during use.
Point-to-point modularization upgrading, respective upgrades content is configured without user on the server manually, realizes that automation rises
Level, precision upgrading.
Real-time upgrade status feedback, is fed back by bonding state, effectively monitors and solve user function module liter
The situation of level failure, satisfaction of the lifting user to software.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the scope of the present invention.It is all
Within the spirit and principles in the present invention, any modification, equivalent substitution and improvement for being made etc. all should protect the guarantor in the present invention
Within the scope of shield.
Claims (10)
1. a kind of custom end intelligent upgrade method based on feedback of status, the client includes multiple functional modules, this method bag
Include following steps：
(1) client behavioural habits data are analyzed, by Modeling analysis, personal behavior model are built；
(2) personal behavior model and set escalation policy of generation are combined, the comprehensive escalation policy of generation is simultaneously output to
Server；
(3) server carries out single-point upgrading using the comprehensive escalation policy to the functional module of the client；
(4) after upgrading successfully, the upgrade status of upgrade function module and upgrading daily record are fed back to the client by server；
(5) client generates new synthesis escalation policy, and new escalation policy is issued into server.
2. according to the method described in claim 1, the step (1) analyzes the client behavioural habits data of user, pass through number
According to modeling analysis, build personal behavior model and specifically include：By analyze the behavioural habits of user, functional module frequency of use,
The corresponding function use habit of functional module, by Modeling analysis, builds personal behavior model.
3. according to the method described in claim 1, step (3) server uses the comprehensive escalation policy to the client
The functional module at end carries out single-point upgrading and specifically included：Server includes according to the comprehensive escalation policy according to the client
The height of updating functional modules priority single-point upgrading is carried out to the functional module of the client.
4. according to the method described in claim 1, step (5) client generates new synthesis escalation policy, and will be new
Escalation policy is issued to server and specifically included：The usage log of server combination upgrade function module, running status daily record with
And upgrade status and upgrading daily record, be further analysed, adjust set escalation policy, then according to the set escalation policy and
Personal behavior model generates new synthesis escalation policy, and new escalation policy is issued into server.
5. according to the method described in claim 1, this method also includes step：
(6) server is upgraded according to new escalation policy to the functional module of the client.
6. a kind of custom end intelligent upgrade-system based on feedback of status, the client includes multiple functional modules, the system bag
Include：
Personal behavior model builds module, analyzes client behavioural habits data, by Modeling analysis, builds user behavior
Model；
Escalation policy generation module, the personal behavior model and set escalation policy of generation are combined, and generation is comprehensive to rise
Level strategy is simultaneously output to server；
Upgraded module, server carries out single-point upgrading using the comprehensive escalation policy to the functional module of the client；
Upgrading feedback module, after upgrading successfully, the upgrade status of upgrade function module and upgrading daily record are fed back to institute by server
State client；
Developing Tactics module, client generates new synthesis escalation policy, and new escalation policy is issued into server.
7. system according to claim 6, the personal behavior model builds module, practised by the behavior for analyzing user
Used, the corresponding function use habit of functional module frequency of use, functional module, by Modeling analysis, builds user behavior
Model.
8. in system according to claim 6, the upgraded module, server is according to the comprehensive escalation policy according to institute
The height for stating the updating functional modules priority that client includes carries out single-point upgrading to the functional module of the client.
9. in system according to claim 6, the Developing Tactics module, the use of server combination upgrade function module
Daily record, running status daily record and upgrade status and upgrading daily record, are further analysed, adjust set escalation policy, Ran Hougen
New synthesis escalation policy is generated according to the set escalation policy and personal behavior model, new escalation policy is issued to service
Device.
10. a kind of computer-readable storage medium, it includes computer program instructions, when performing the computer program instructions, performs
One of claim 1-5 methods described.
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| CN201710555675.6A CN107291515B (en) | 2017-07-10 | 2017-07-10 | Client intelligent upgrading method and system based on state feedback |
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| CN111142898A (en) * | 2019-12-11 | 2020-05-12 | 北京明朝万达科技股份有限公司 | Data leakage-proof terminal upgrading method and system based on group intelligent mode |
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| US11893376B2 (en) * | 2022-03-09 | 2024-02-06 | Dell Products L.P. | Method and system for performing an application upgrade based on user behavior |
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